Considering the aforementioned limitations, HSI analysis is categorized into the following main streams: dimensionality reduction [1]}, [2]}, [3]}, [4]}, [5]}, spectral unmixing [6]}, [7]}, [8]}, [9]}, [10]}, [11]}, [12]}, object/change detection [13]}, [14]}, [15]}, [16]}, [17]} classification [18]}, [19]}, [20]}, [21]}, feature learning for classification [22]}, [23]}, [24]}, [25]}, restoration and denoising [26]}, [27]}, resolution enhancement [28]}, [29]}. Figure REF  shows an exponentially growing trend in literature published per year for HSI analysis-related tasks and applications.
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